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  • Open Access

    ARTICLE

    A Federated Learning Framework with Blockchain for Privacy-Preserving Continuous Glucose Monitoring in Type 2 Diabetes

    Nomangwane Angelina Tshabalala1, Ping Guo2,*

    Journal on Internet of Things, Vol.8, pp. 87-107, 2026, DOI:10.32604/jiot.2026.078248 - 06 May 2026

    Abstract Type 2 Diabetes mellitus is a disease that afflicts approximately 537 million individuals all over the world, and continuous glucose monitoring (CGM) systems have become very important in the management of the disease. Nonetheless, the existing centralized data architecture of CGM generates high privacy and security risks, as sensitive patient health data can be easily abused. This paper introduces an original structure that incorporates both federated learning and blockchain technology and allows for predicting glucose safely and preserving privacy without affecting the integrity of the data. Our model uses the Long Short-Term Memory (LSTM) neural… More >

  • Open Access

    REVIEW

    Research Advances and Therapeutic Potential of Gut Microbiota in Metabolic Diseases

    Shuyu Yuan1,#, Guoxiao Han1,#, Huimin Qiu1, Henan Zheng2, Rongzhi Fang1, Wangmiao Xie1, Wangui Yu1,*, Xiaochun Peng1,*

    BIOCELL, Vol.50, No.4, 2026, DOI:10.32604/biocell.2026.075338 - 21 April 2026

    Abstract The gut microbiota plays a pivotal role in maintaining host metabolic homeostasis. Accumulating evidence has demonstrated that dysbiosis of the gut microbiota is closely associated with metabolic disorders, including obesity, type 2 diabetes mellitus (T2DM), and non-alcoholic fatty liver disease (NAFLD). These alterations affect energy harvest, bile acid and short-chain fatty acid metabolism, intestinal barrier integrity, and low-grade inflammation, thereby contributing to insulin resistance and ectopic fat accumulation. In this narrative review, we summarize current knowledge on microbiome-host interactions in metabolic diseases, with a focus on energy metabolism, immune regulation, and inflammatory pathways. We further More > Graphic Abstract

    Research Advances and Therapeutic Potential of Gut Microbiota in Metabolic Diseases

  • Open Access

    REVIEW

    Research Advances on the Mechanisms and Clinical Outcomes of Hyperglycemia in Pregnancy Leading to Congenital Heart Disease in Offspring

    Jiafei He1,2, Ailixiati Alifu2, Haifan Wang2, Renwei Chen1,2,*

    Structural and Congenital Heart Disease, Vol.21, No.1, 2026, DOI:10.32604/schd.2026.075858 - 31 March 2026

    Abstract Hyperglycemia in pregnancy (HIP) is an important independent risk factor for congenital heart disease (CHD) in offspring. With an increasing number of women of childbearing age experiencing gestational hyperglycemia, the impact of an intrauterine hyperglycemic environment on fetal development has drawn significant attention. However, the teratogenic mechanisms underlying its effects on cardiac development remain incompletely understood. This review systematically analyzes relevant literature to summarize its underlying mechanisms and key findings: A hyperglycemic environment disrupts cardiac neural crest cell migration, differentiation, and the proliferation/apoptosis balance of cardiomyocytes by inducing oxidative stress, endoplasmic reticulum stress, and inflammatory… More >

  • Open Access

    ARTICLE

    DeepClassifier: A Data Sampling-Based Hybrid BiLSTM-BiGRU Neural Network for Enhanced Type 2 Diabetes Prediction

    Abdullahi Abubakar Imam1,*, Sahalu Balarabe Junaidu2, Hussaini Mamman3, Ganesh Kumar3, Abdullateef Oluwagbemiga Balogun3, Sunder Ali Khowaja4, Shuib Basri3, Luiz Fernando Capretz5, Asmah Husaini6, Hanif Abdul Rahman6, Usman Ali1, Fatoumatta Conteh1

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.076187 - 30 March 2026

    Abstract Artificial Intelligence (AI) in healthcare enables predicting diabetes using data-driven methods instead of the traditional ways of screening the disease, which include hemoglobin A1c (HbA1c), oral glucose tolerance test (OGTT), and fasting plasma glucose (FPG) screening techniques, which are invasive and limited in scale. Machine learning (ML) and deep neural network (DNN) models that use large datasets to learn the complex, nonlinear feature interactions, but the conventional ML algorithms are data sensitive and often show unstable predictive accuracy. Conversely, DNN models are more robust, though the ability to reach a high accuracy rate consistently on… More >

  • Open Access

    ARTICLE

    The Effect of Metformin on Atezolizumab/Bevacizumab Treatment in Patients with Hepatocellular Carcinoma and Diabetes

    Andrea Dalbeni1,2, Marco Vicardi1,2,*, Leonardo A. Natola1,2, Alessandra Auriemma3, Bernardo Stefanini4, Caterina Vivaldi5, Piera Federico6, Andrea Polloni7, Caterina Soldà8, Lorenzo Lani4, Ingrid Garajová9, Stefano Tamberi10, Stefania De Lorenzo11, Fabio Piscaglia4,12, Vincenzo Di Maria1, Gianluca Masi5, Sara Lonardi8, Giovanni Brandi4,7, Bruno Daniele6, Franco Trevisani4,13, Gianluca Svegliati-Baroni14, Laura Schiada14, Fabio Marra15, Claudia Campani15, Ciro Celsa16, Giuseppe Cabibbo16, Mariangela Bruccoleri17, Massimo Iavarone17,18, Leonardo Stella19, Francesca R. Ponziani19, Tiziana Pressiani20, Lorenza Rimassa20,21, Francesco Tovoli4, David Sacerdoti2

    Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2026.073063 - 23 March 2026

    Abstract Objectives: The combination of atezolizumab plus bevacizumab (A+B) represents one of the standards first-line treatments for unresectable hepatocellular carcinoma (HCC). Metformin has garnered attention for its potential antitumour and immunomodulatory properties beyond glycaemic control. This study aimed to assess metformin’s impact in patients with type 2 diabetes mellitus (T2DM) receiving A+B therapy. Methods: This retrospective analysis of a prospectively-maintained multicentre database included 523 patients with HCC treated with A+B from the ARTE (Atezolizumab-bevacizumab Real-life Experience for Treatment of Hepatocellular Carcinoma) dataset across 18 Italian centres (May 2020–January 2024). We evaluated objective response rate (ORR), disease… More >

  • Open Access

    ARTICLE

    Compliance with Three Movement Behaviors and Psychological Health among Adults with Diabetes

    Wenjiao Li1, Shiliang Chen1, Shihui Chen2, Xinxing Li3, Yanjie Zhang4,5,*

    International Journal of Mental Health Promotion, Vol.28, No.2, 2026, DOI:10.32604/ijmhp.2026.072912 - 27 February 2026

    Abstract Objectives: 24-h movement behaviors (24-HMB), encompassing physical activity, sedentary behavior, and sleep duration, are increasingly regarded as interrelated and important factors for mental health. However, evidence on the comprehensive association of these behaviors with mental health in adults with diabetes in developing countries remains scarce. This study examined the association between 24-HMB guidelines and psychological health among adults with diabetes in developing countries. Methods: Data were retrieved from the World Health Organization’s study on Global Aging and Adult Health Survey dataset. Adults (N = 1905) diagnosed with diabetes from five low-and middle-income countries were included. The… More >

  • Open Access

    ARTICLE

    Association between self-compassion, meaning in life, resilience, health-related quality of life and diabetes self-management among people living with type 2 diabetes in Nigeria

    Chinenye Joseph Aliche1,*, Erhabor Sunday Idemudia1, Ike E. Onyishi2

    Journal of Psychology in Africa, Vol.36, No.1, pp. 107-115, 2026, DOI:10.32604/jpa.2026.075295 - 26 February 2026

    Abstract Self-compassion is an important psychological resource that improves health-related quality of life and diabetes self-management; however, the psychological processes underlying these associations remain unclear. This study examined the roles of meaning in life and resilience in the relationship between self-compassion and both health-related quality of life and diabetes self-management. Participants were 301 individuals living with type 2 diabetes (176 (58.5%) females, M age = 49.69, SD = 12.36) conveniently selected from two tertiary healthcare institutions in Nigeria. They completed self-report measures of self-compassion, meaning in life, resilience, health-related quality of life and diabetes self-management. Multiple… More >

  • Open Access

    REVIEW

    Natural Killer Cell Cytotoxicity: STAT3 Interactions with NF-κB Dimer Composition Modulate Mitochondrial Melatonergic Pathway: Tumor, and Viral Infection Treatment Implications#

    George Anderson*

    BIOCELL, Vol.50, No.2, 2026, DOI:10.32604/biocell.2025.073221 - 14 February 2026

    Abstract As natural killer (NK) cells eliminate cancer cells and virus-infected cells, as well as modulate various other medical conditions, including aging-associated conditions such as neurodegenerative disorders, understanding NK cell regulation is of considerable clinical importance. This article reviews the role of circadian processes (melatonin and the cortisol system), aryl hydrocarbon receptor, and vagal nerve in the modulation of NK cell function, highlighting the importance of the endogenous mitochondrial melatonergic pathway in NK cells. As circadian and exogenous melatonin increase NK cell cytotoxicity, the presence of the endogenous melatonergic pathway may be of some importance not… More >

  • Open Access

    ARTICLE

    A Retrospective Real-World Study: The Efficacy and Safety of Immune Checkpoint Inhibitors Combined with Chemoradiotherapy in Limited-Stage Small Cell Lung Cancer

    Ruoxue Cai1,#, Shuyi Hu2,#, Feiyang Li2, Huanhuan Sha3,*, Guoren Zhou2,*, Ying Fang3

    Oncology Research, Vol.34, No.2, 2026, DOI:10.32604/or.2025.070893 - 19 January 2026

    Abstract Objective: To determine whether immunotherapy can bring new hope for patients with limited-stage small-cell lung cancer (LS-SCLC). We conducted this retrospective study to evaluate whether immunotherapy can achieve better efficacy in LS-SCLC patients. Methods: We evaluated 122 LS-SCLC patients who received concurrent chemoradiotherapy (CCRT) or sequential chemoradiotherapy (SCRT) (Group A) and immunotherapy combined with CCRT/SCRT followed by immunotherapy (Group B), to assess the objective response rate (ORR), disease control rate (DCR), and progression-free survival (PFS). Factors affecting prognosis were also explored using Cox analysis. The prognosis of patients with type 2 diabetes and patients with… More >

  • Open Access

    ARTICLE

    Early GLP-1 Agonist Use and Cancer Risk in Type 2 Diabetes: A Real-World Data Cohort Study

    Cheng-Hsun Chuang1,2,3,#, Ping-Kun Tsai3,4,5,6,#, Shih-Wen Kao7,8, Yu-Hsun Wang8,9,*, Chao-Bin Yeh1,2,3,*

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.072875 - 30 December 2025

    Abstract Background: To determine whether initiating a glucagon-like peptide-1 receptor agonist (GLP-1 RA) within 3 months of type 2 diabetes (T2DM) diagnosis alters the subsequent risk of overall and site-specific cancer and whether this association differs by baseline body-mass index (BMI). Methods: This retrospective cohort study used electronic health records from the TriNetX U.S. research network. Adults aged 20 years or older diagnosed with T2DM between 2016 and 2024 were included if they received any hypoglycemic agents within 3 months before and after diagnosis. Following 1:1 propensity score matching, both the GLP-1 RA user and non-user… More > Graphic Abstract

    Early GLP-1 Agonist Use and Cancer Risk in Type 2 Diabetes: A Real-World Data Cohort Study

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